602 citations · 1.6k across the 24 of their papers we have counts for
7 papers · 1 filter
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh +1
We present a data-driven, end-to-end approach to transaction-based dialog systems that performs at near-human levels in terms of verbal response quality and factual grounding accur…
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension
Siamak Shakeri, Noah Constant, Mihir Sanjay Kale +1
We propose a simple method to generate multilingual question and answer pairs on a large scale through the use of a single generative model. These synthetic samples can be used to…
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts +5
The recent "Text-to-Text Transfer Transformer" (T5) leveraged a unified text-to-text format and scale to attain state-of-the-art results on a wide variety of English-language NLP t…
Text-to-Text Pre-Training for Data-to-Text Tasks
Mihir Kale, Abhinav Rastogi
We study the pre-train + fine-tune strategy for data-to-text tasks. Our experiments indicate that text-to-text pre-training in the form of T5, enables simple, end-to-end transforme…
Machine Translation Pre-training for Data-to-Text Generation -- A Case Study in Czech
Mihir Kale, Scott Roy
While there is a large body of research studying deep learning methods for text generation from structured data, almost all of it focuses purely on English. In this paper, we study…
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation
Sreyashi Nag, Mihir Kale, Varun Lakshminarasimhan +1
We explore ways of incorporating bilingual dictionaries to enable semi-supervised neural machine translation. Conventional back-translation methods have shown success in leveraging…
Template Guided Text Generation for Task-Oriented Dialogue
Mihir Kale, Abhinav Rastogi
Virtual assistants such as Google Assistant, Amazon Alexa, and Apple Siri enable users to interact with a large number of services and APIs on the web using natural language. In th…